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English(EN) Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm

神经符号AI将CYK算法集成到神经网络中

研究人员开发了一种新颖的神经符号方法,将CYK算法直接集成到一个名为CYKNN的神经网络架构中。该方法将CYK算法编码到可训练的矩阵向量运算中。实验表明,CYKNN在上下文学习方面优于大型语言模型,并在特定的语法解析任务上超越了经过微调的小型Qwen模型。 AI

影响 这种方法通过将算法推理直接嵌入神经网络,有望实现更高效、更易于理解的AI模型。

排序理由 该集群包含一篇详细介绍新AI研究方法的学术论文。

在 arXiv cs.AI 阅读 →

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神经符号AI将CYK算法集成到神经网络中

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Fabio Massimo Zanzotto, Federico Ranaldi, Giorgio Satta ·

    神经符号句法分析:用CYK算法塑造神经网络

    arXiv:2605.31421v1 Announce Type: cross Abstract: In this paper, we show the possibility of a direct injection of algorithms into neural network architecture. We focus on a complex algorithm, that is, Cocke-Youger-Kasami (CYK) for parsing context-free grammars in Chomsky Normal F…

  2. arXiv cs.AI TIER_1 English(EN) · Giorgio Satta ·

    神经符号句法分析:用CYK算法塑造神经网络

    In this paper, we show the possibility of a direct injection of algorithms into neural network architecture. We focus on a complex algorithm, that is, Cocke-Youger-Kasami (CYK) for parsing context-free grammars in Chomsky Normal Form and we propose CYKNN, a simple recurrent neura…